Artificial Intelligence Engineer

Role 1: AI Engineer – NLP/LLM

Role 2: AI Engineer – Computer Vision

Experience: Minimum 4+ Years

Salary: Up to AED 35,000 (Negotiable- Subject to experience & performance in the interview)

Department: AI and Data Team

Notice: Immediate - 30 days

Summary

An experienced AI Engineer specializing in Natural Language Processing (NLP), Large Language Models (LLM), and Computer Vision with a proven track record of designing, developing, and deploying state-of-the-art AI solutions. Adept at building scalable models for text and image-based applications, collaborating with cross-functional teams, and optimizing machine learning workflows.

Role 1: AI Engineer – NLP/LLM

Key Focus: Developing and deploying NLP and LLM solutions for applications such as chatbots, customer support automation, and intelligent assistance tools.

Responsibilities:

Design and optimize large-scale NLP models (GPT, BERT, Llama, Mistral).

Collect, preprocess, and enhance datasets for training and evaluation.

Deploy models via APIs and ensure high availability and performance.

Monitor, fine-tune, and continuously improve models based on feedback.

Collaborate with data scientists and software engineers for AI integration.

Stay updated on the latest AI and NLP research advancements.

Skills & Tools: Python, TensorFlow, PyTorch, Hugging Face, spaCy, NLTK, cloud platforms (AWS/GCP/Azure), MLOps, distributed computing.

Role 2: AI Engineer – Computer Vision

Key Focus: Developing and deploying OCR, object detection, face matching, and liveness detection models for KYC workflows in FinTech applications.

Responsibilities:

Develop and optimize computer vision models for identity verification and document processing.

Implement image preprocessing techniques (noise reduction, skew correction).

Deploy AI solutions on cloud and containerized environments (Docker, Kubernetes).

Curate datasets and apply semi-supervised learning techniques.

Monitor performance, ensure scalability, and research new advancements in Computer Vision.

Skills & Tools: Python, TensorFlow, PyTorch, OpenCV, Tesseract, cloud platforms, GPU optimization, KYC compliance.

Overall Expertise:

Machine Learning & AI – Strong experience in NLP, LLM, and Computer Vision.

Model Deployment & Scaling – Hands-on experience with cloud-based deployments, MLOps, and containerized solutions.

Cross-functional Collaboration – Worked closely with data scientists, engineers, and business teams to deliver AI-driven solutions.

Research & Continuous Learning – Passionate about staying ahead in AI, deep learning, and data-driven innovations.